A Datadog MCP implemented in C# that exposes logs, metrics, traces, and monitors as structured context for AI agents, enabling automated observability analysis, test validation, incident...
概览
A Model Context Protocol (MCP) server for Datadog integration, enabling AI assistants to interact with Datadog Logs, Monitors, Metrics, Incidents, and Dashboards. Copy and edit the environment file with your Datadog credentials: This project implements an MCP server that exposes tools for querying and managing Logs, Monitors, Metrics, Incidents, and Dashboards in Datadog. It can be used with any compatible MCP client, such as Claude Desktop, Claude Code, or other assistants that support the protocol. 1. Go to your Datadog organization settings: https://app.datadoghq.com/organization-settings/api-keys 2. Click to create an API Key 3. Go to Application Keys: https://app.datadoghq.com/organization-settings/application-keys 4. Click to create an Application Key 5. Copy both keys immediately (you won't see them again!) Best for: Production use, quick setup without .NET installed Best for: Deployment without .NET runtime Edit claude_desktop_config.
README
以下为原文 README 节选，完整内容请查看原文。
MCP Datadog Server
A Model Context Protocol (MCP) server for Datadog integration, enabling AI assistants to interact with Datadog Logs, Monitors, Metrics, Incidents, and Dashboards.
Quick Start
Get up and running in 3 steps:
1. Clone and configure
git clone https://github.com/viamus/mcp-datadog.git
cd mcp-datadog
Copy and edit the environment file with your Datadog credentials:
cp .env.example .env
Edit .env with your Datadog API keys:
DATADOG_API_KEY=your-api-key-here
DATADOG_APPLICATION_KEY=your-application-key-here
DATADOG_SITE=api.datadoghq.com
Need API Keys? See Creating Datadog API Keys below.
2. Run the server
Option A - Docker (recommended):
docker compose up -d
# Server runs at http://localhost:8081
Option B - .NET CLI:
dotnet run --project src/Viamus.DataDog.Mcp.Server
# Server runs at http://localhost:5100
3. Verify it’s working
# Docker
curl http://localhost:8081/health
# .NET CLI
curl http://localhost:5100/health
You should see: Healthy
About
This project implements an MCP server that exposes tools for querying and managing Logs, Monitors, Metrics, Incidents, and Dashboards in Datadog. It can be used with any compatible MCP client, such as Claude Desktop, Claude Code, or other assistants that support the protocol.
Available Tools
Log Tools
| Tool | Description |
|---|---|
search_logs |
Search logs using Datadog query syntax with time range and pagination |
Monitor Tools
| Tool | Description |
|---|---|
list_monitors |
Lists all monitors with optional filters (name, tags, state) |
get_monitor |
Gets details of a specific monitor by ID including thresholds and state |
Metric Tools
| Tool | Description |
|---|---|
query_metrics |
Query time-series metric data using Datadog query syntax |
list_metrics |
Lists available metric names, optionally filtered by host |
get_metric_metadata |
Gets metadata for a specific metric (type, description, unit) |
Incident Tools
| Tool | Description |
|---|---|
list_incidents |
Lists incidents with pagination |
get_incident |
Gets detailed information about a specific incident |
Dashboard Tools
| Tool | Description |
|---|---|
list_dashboards |
Lists all dashboards with basic information |
安装
This server does not publish a one-line install command.
Open the repository installation guide 新手？先看 mcpskill.org 教程 →配置
{
"mcpServers": {
"datadog": {
"url": "http://localhost:8081"
}
}
}